naa a22 4500 569311659 20190727060926.0 cr unu---uuuuu 190727e20181204xx s 100 0 eng 10.3929/ethz-b-000352934 doi 10.1016/j.trpro.2018.11.042 doi (ETHRESEARCH)oai:www.research-collection.ethz.ch:20.500.11850/352934 Scalable HPC enhanced agent based system for simulating mixed mode evacuation of large urban areas [Elektronische Daten] [Lalith Wijerathne, Wasuwat Petprakob, Leonel; id_orcid 0000-0001-6864-4492 Aguilar Melgar, Muneo Hori, Tsuyoshi Ichimura, Toshio Yoshii (Editor), Yasuhiro Shiomi (Editor), Takahiro Kusakabe (Editor), Kentaro Wada (Editor)] Amsterdam Elsevier 2018 Open access ethresearch This short paper presents an HPC enhanced Agent Based Model (ABM) developed with the aim of quantitatively estimating the strategies for accelerating emergency mass evacuations, like tsunami evacuation. In order to facilitate inclusion of various influencing factors, such as localized congestion, multi-modes, pedestrian vehicle interactions, fallen debris from damaged buildings, visibility, etc., which demand detailed models, the developed system includes a 1mx1m resolution model of environment, and agents capable of perceiving and autonomously interact with this high resolution environment and visible agents. In order to meet the computational demand of large scale simulations with complex agents, a scalable high performance extension was implemented. Short introductions to the agent based model and the HPC extension are presented in this paper. In order to demonstrate the scalability of the system, both in problem size and computational capability, a 588 km2 region with 10 million agents is simulated in K computer. It is demonstrated that the system has high strong scalability up to 2048 computing nodes, which is equivalent to 16,384 CPU cores. International Symposium of Transport Simulation (ISTS'18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS'18) in Matsuyama, Japan (August 6-8, 2018) Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0 ethresearch Agent based modeling ethresearch Tsunami evacuation ethresearch High resolution environment ethresearch High performance computing ethresearch Wijerathne Lalith joint author Petprakob Wasuwat joint author Aguilar Melgar Leonel; id_orcid 0000-0001-6864-4492 joint author Hori Muneo joint author Ichimura Tsuyoshi joint author Yoshii Toshio Editor edt Shiomi Yasuhiro Editor edt Kusakabe Takahiro Editor edt Wada Kentaro Editor edt International Symposium of Transport Simulation (ISTS'18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS'18) Emerging Transport Technologies for Next Generation Mobility Amsterdam : Elsevier pp. 275-282 http://hdl.handle.net/20.500.11850/352934 text/html WWW-Backlink auf das Repository (Open access) 1 Conference Paper ethresearch ETHRESEARCH 856 40 http://hdl.handle.net/20.500.11850/352934 text/html WWW-Backlink auf das Repository (Open access) ETHRESEARCH 700 1- Wijerathne Lalith joint author ETHRESEARCH 700 1- Petprakob Wasuwat joint author ETHRESEARCH 700 1- Aguilar Melgar Leonel; id_orcid 0000-0001-6864-4492 joint author ETHRESEARCH 700 1- Hori Muneo joint author ETHRESEARCH 700 1- Ichimura Tsuyoshi joint author ETHRESEARCH 700 1- Yoshii Toshio Editor edt ETHRESEARCH 700 1- Shiomi Yasuhiro Editor edt ETHRESEARCH 700 1- Kusakabe Takahiro Editor edt ETHRESEARCH 700 1- Wada Kentaro Editor edt ETHRESEARCH 773 0- International Symposium of Transport Simulation (ISTS'18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS'18) Emerging Transport Technologies for Next Generation Mobility Amsterdam : Elsevier pp. 275-282 BK010053 XK010053 XK010000 ETHRESEARCH ETHRESEARCH ETHRESEARCH Conference Paper Open access